Samsung Galaxy S21+ 5G
Geekbench AI Score
321
Single Precision Score
487
Half Precision Score
490
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 11 2025 05:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
203
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
464
7.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
132
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
166
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
83% |
260
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
719
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
963
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
760
5.85 IPS |
|
|
Depth Estimation (Q)
|
62% |
615
5.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2131
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2124
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
634
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.5 IPS |
|
|
Text Classification (HP)
|
100% |
238
318.1 IPS |
|
|
Text Classification (Q)
|
91% |
452
607.5 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
57% |
339
8.29 IPS |
